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Artificial Intelligence And Machine Learning For Business A Nononsense Guide To Data Driven Technologies Finlay

  • SKU: BELL-239846170
Artificial Intelligence And Machine Learning For Business A Nononsense Guide To Data Driven Technologies Finlay
$ 35.00 $ 45.00 (-22%)

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Artificial Intelligence And Machine Learning For Business A Nononsense Guide To Data Driven Technologies Finlay instant download after payment.

Publisher: Great Britain : Relativistic Books
File Extension: PDF
File size: 6.42 MB
Author: Finlay, Steven, 1969- author
Language: English
Year: 2017

Product desciption

Artificial Intelligence And Machine Learning For Business A Nononsense Guide To Data Driven Technologies Finlay by Finlay, Steven, 1969- Author instant download after payment.

viii, 142 pages : 22 cm, Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximise the benefits of these technologies, \"This is the second edition of the book ... which was previously titled 'Predictive Analytics in 56 Minutes' \"--Vii, Includes bibliographical references (pages 138-142), Introduction -- What are machine learning and artificial intelligence (AI)? -- What do the scores generated by a predictive model represent? -- Why use machine learning? What value does it add? -- How does machine learning work? -- Using a predictive model to make decisions -- That's scorecards, but what about decision trees? -- Neural networks and deep learning -- How to build a predictive model -- Operationalizing machine learning -- The relationship between big data and machine learning -- Ethical considerations -- The cutting edge of machine learning -- Concluding remarks -- Appendix A. Evaluating predictive models -- Appendix B. Further information and recommended reading -- Appendix C. Popular terms in machine learning and AI -- Appendix D.A checklist for business success

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